Canopy and soil thermal patterns to support water and heat stress management in vineyards

Costa, J.M.; Egipto, Ricardo; Sánchez-Virosta, Álvaro; Lopes, Carlos M.; Chaves, Maria Manuela

doi:10.1016/j.agwat.2018.06.001

Cited by 40 publications

(29 citation statements)

References 38 publications

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“…Many authors consider that thermal index, Δ(T canopy -T air ), is more recommended to estimate the crop water stress using thermometric images due to its feasibility (García-Tejero et al, 2011;Costa et al, 2018;García-Tejero et al, 2018b). Urban et al (2017) reported temperature differences up to 9°C between plants grown in dry and moist soil.…”

Section: Crop Yield Thermal Index Parameters and Soil Cover Relationshipmentioning

confidence: 99%

Thermal imaging to assess the crop water status of melon plants under tropical semi-arid climate

Aragão¹,

Neto²,

Viana³

et al. 2021

Preprint

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Deficit irrigation (DI) strategies and soil cover are highly effective to improve the the water productivity in semi-arid regions. However, the effective monitoring of plant water status under DI strategies becomes crucial. The main objective of this study was to evaluate the use of thermal images to estimate the water status of melon plants cultivated in soil with and without mulching under different irrigation regimes. The experience was carried out from October to December 2018. The study was carried out in a randomized block design, in a split plot arrangement. Plots were composed by soil cover (with and without mulching with plant material), and subplots by 5 irrigation regimes (120, 100, 80, 60 and 40% of crop evapotranspiration-ETc), with five replicates. The following variables were evaluated: canopy temperature (Tcanopy), leaf water potential (Ψleaf), air temperature (Tair), soil moisture, crop yield and the thermal index (ΔT), this being defined as the difference between Tcanopy and Tair. ΔT showed high correlations with crop yield and crop water consumption, evidencing that thermography is an efficient tool to identify the water status of melon plants and could be employed for a proper irrigation scheduling under the tropical semi-arid scenarios. Moreover, the use of thermal images also allowed the identification of beneficial effects of soil cover on leaf water status and crop yield, mainly under moderate DI. The obtained results also demonstrate that mulching is essential to increase melon yield and water productivity in tropical regions.

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Section: Crop Yield Thermal Index Parameters and Soil Cover Relationshipmentioning

confidence: 99%

Thermal imaging to assess the crop water status of melon plants under tropical semi-arid climate

Aragão¹,

Neto²,

Viana³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Heat stress physiology in turn, at both leaf and berry levels, should be evaluated to better understand the impacts of drought and high soil and air temperatures on grapevine physiology and morphology of leaves, berries, and bunches ( Costa et al, 2019a ; Field et al, 2020 ). This is particularly important because berries tend to ripe earlier in warmer conditions, due to the effect of heat in anticipating phenological events ( Van Leeuwen and Destrac-Irvine, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Potential Phenotyping Methodologies to Assess Inter- and Intravarietal Variability and to Select Grapevine Genotypes Tolerant to Abiotic Stress

et al. 2021

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Plant phenotyping is an emerging science that combines multiple methodologies and protocols to measure plant traits (e.g., growth, morphology, architecture, function, and composition) at multiple scales of organization. Manual phenotyping remains as a major bottleneck to the advance of plant and crop breeding. Such constraint fostered the development of high throughput plant phenotyping (HTPP), which is largely based on imaging approaches and automatized data retrieval and processing. Field phenotyping still poses major challenges and the progress of HTPP for field conditions can be relevant to support selection and breeding of grapevine. The aim of this review is to discuss potential and current methods to improve field phenotyping of grapevine to support characterization of inter- and intravarietal diversity. Vitis vinifera has a large genetic diversity that needs characterization, and the availability of methods to support selection of plant material (polyclonal or clonal) able to withstand abiotic stress is paramount. Besides being time consuming, complex and expensive, field experiments are also affected by heterogeneous and uncontrolled climate and soil conditions, mostly due to the large areas of the trials and to the high number of traits to be observed in a number of individuals ranging from hundreds to thousands. Therefore, adequate field experimental design and data gathering methodologies are crucial to obtain reliable data. Some of the major challenges posed to grapevine selection programs for tolerance to water and heat stress are described herein. Useful traits for selection and related field phenotyping methodologies are described and their adequacy for large scale screening is discussed.

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“…In the last decades, remote and proximal sensing technologies [4] supported the development of precision agriculture tools that allow to improving water use efficiency and carbon balance in the vineyard [5][6][7]. Among these tools, thermography has been widely used to detect water stress and to develop crop water stress indexes that help implementing water saving irrigation strategies [8][9][10][11] to cope with water scarcity [12], especially in large enterprises [13].…”

Section: Introductionmentioning

confidence: 99%

An Index for User-Friendly Proximal Detection of Water Requirements to Optimized Irrigation Management in Vineyards

et al. 2021

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We propose an index for proximal detection of water requirements to optimize the use of water resources in arid and semi-arid wine growing regions. To test the accuracy and representativeness of the proposed irrigation need index (IIN), plant water status and physiological performances were monitored during seasons 2019 and 2020 in two grapevine varieties with different anisohydric degree (Vermentino and Cannonau) grown in 3 sites in Sardinia (Italy). Daily leaf gas exchange curves and stem water potential were recorded. Canopy temperature was monitored, using both thermistor sensors (Tc) and infrared thermometry (IR). Meteorological data, including dry and wet bulb temperatures were collected to compute and parametrize IIN, based on energy balance equation. Vineyard water balance, thermal time and irrigation water productivity were characterized. Linear regression analysis allowed to validate IIN for both varieties and to establish target thresholds for mild, moderate and severe water deficit to optimize irrigation for high yield and quality objectives. IIN well represents plant water status, using either Tc or IR, and allows rapid and easy detection of water and heat stress condition, even when a stricter stomatal control determines slighter variation and lower response of stem water potential, as in plants with low anisohydric degree.

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Canopy and soil thermal patterns to support water and heat stress management in vineyards

Cited by 40 publications

References 38 publications

Thermal imaging to assess the crop water status of melon plants under tropical semi-arid climate

Thermal imaging to assess the crop water status of melon plants under tropical semi-arid climate

Potential Phenotyping Methodologies to Assess Inter- and Intravarietal Variability and to Select Grapevine Genotypes Tolerant to Abiotic Stress

An Index for User-Friendly Proximal Detection of Water Requirements to Optimized Irrigation Management in Vineyards

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